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Capability Jobs (NOW HIRING)

Deloitte

Agentic Capability Engineer

San Diego, CA · On-site

Work You'll Do As an Agentic Capability Engineer, you will operate as a platform-focused engineer who designs, builds, and maintains the agentic infrastructure that powers AI-driven delivery at scale.

Northern Trust

Capability Lead - Client 360

Chicago, IL · On-site

$137K - $233K/yr

Shape multi-phase and longer-term roadmaps that define how Client360 & Aggregation capabilities will mature into scalable, adoptable platform services that become the foundation for reporting and ...

ClinDCast LLC

Capability Manager

Albany, NY · Remote

$55 - $60/hr

Key Responsibilities: * Lead business and operational activities related to application implementation and development. * Drive Agile practices, including user story development, requirements ...

Corning

Supplier Capability Technician

Concord, NC

$59K - $81K/yr

Role Purpose The Supplier Capability Technician provides technical drafting, documentation, and engineering execution support for division‑level initiatives focused on capacity growth and cost ...

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Capability information

See salary details

$50.5K

$110.7K

$152K

How much do capability jobs pay per year?

As of Jul 7, 2026, the average yearly pay for capability in the United States is $110,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $135,000.00 per year, depending on experience, location, and employer.

What is the difference between Capability vs Data Analyst?

AspectCapabilityData Analyst
Required credentialsVaries; often includes certifications in specific tools or methodologiesBachelor's degree in data science, statistics, or related field; often certifications in data analysis tools
Work environmentCan be in various industries, focusing on skills applicationTypically in tech, finance, healthcare, or marketing sectors
Employer and industry usageUsed across multiple industries to denote skill sets or abilitiesCommonly employed in data-driven roles within organizations
Search and comparison intentUnderstanding broad capabilities or skillsSpecific role focused on analyzing data sets and generating insights

While 'Capability' refers to a broad set of skills or abilities applicable across various roles and industries, a 'Data Analyst' is a specific job title focused on analyzing data to support decision-making. Understanding the difference helps job seekers and employers clarify expectations and requirements for each role.

What are the key skills and qualifications needed to thrive as a Capability Manager, and why are they important?

To thrive as a Capability Manager, you need strong project management abilities, strategic planning skills, and typically a degree in business, management, or a related field. Experience with tools like Microsoft Project, capability frameworks, and certifications such as PMP or PRINCE2 are often essential. Exceptional communication, leadership, and stakeholder management skills help you drive organizational change and foster team development. These skills ensure the effective alignment of organizational resources and processes to achieve business objectives and sustained performance.

What are Capability roles in a company?

Capability roles in a company focus on developing, managing, and improving the skills, processes, and systems that enable an organization to achieve its strategic objectives. People in Capability roles often work on talent development, change management, process optimization, and organizational effectiveness. Their goal is to ensure that the workforce and operational structures are aligned with business goals, helping the organization adapt and thrive in a changing environment.

How does a Capability Manager typically collaborate with cross-functional teams to drive organizational change?

Capability Managers often work closely with teams from various departments, such as HR, IT, and operations, to identify skill gaps and implement development initiatives that align with business goals. Collaboration usually involves regular meetings, workshops, and progress reviews to ensure all stakeholders are aligned. By fostering open communication and building consensus, Capability Managers help facilitate smooth transitions during organizational change and support continuous improvement efforts.
What are the most commonly searched types of Capability jobs? The most popular types of Capability jobs are:
What states have the most Capability jobs? States with the most job openings for Capability jobs include:
Infographic showing various Capability job openings in the United States as of July 2026, with employment types broken down into 86% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $110,698 per year, or $53.2 per hour.
Agentic Capability Engineer

Agentic Capability Engineer

Deloitte

San Diego, CA • On-site

Other

Posted 12 days ago

Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

71st of 146 rated financial services

Job description

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As an Agentic Capability Engineer, you will operate as a platform-focused engineer who designs, builds, and maintains the agentic infrastructure that powers AI-driven delivery at scale. The ACE develops AI agents, agent systems, crafting reusable prompt and context engineering patterns, building MCP (Model Context Protocol) servers, and integrating platforms that enable other orchestrators to work.

Additionally, you will:

  • Design agent system architecture and implement DevSecOps practices for AI workflows
  • Build and maintain AI agents, agent systems, and reusable skills/workflows for delivery teams
  • Develop and govern prompt, context engineering patterns that produce consistent, high-quality outputs
  • Stand up MCP (Model Context Protocol) servers, CLI tools, and agent testing frameworks
  • Deliver platform configuration and integrations (CI/CD pipelines, repositories, environments, guardrails)
  • Standardize orchestration components-templates, harnesses, observability-for enterprise reuse
  • Improve reliability, performance, and maintainability of agent delivery capabilities over time
  • Provide technical guidance to ADEs and AEMs on effective use of agentic infrastructure

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required: 

  • Bachelor's degree in Computer Science, Data Science or Engineering.
  • 7+ years of software engineering experience with demonstrated platform or infrastructure impact
  • 5+ years of hands-on experience building, deploying, or integrating AI/ML systems in production environments
  • 5+ years of experience with cloud platforms and infrastructure automation (Terraform, Kubernetes, etc.)
  • 2+ years of experience with prompt engineering and context optimization skills with measurable quality improvements
  • 2+ years of experience designing reusable tools, frameworks, or developer productivity infrastructure
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Must be able to obtain and maintain the required clearance for this role 

Preferred: 

  • Strong security mindset with knowledge of AI-specific risks (prompt injection, data leakage, hallucination)
  • Ability to translate complex technical capabilities into accessible patterns for other engineers
  • Track record of staying current with rapidly evolving AI tools and contributing improvements proactively

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $131,000 to $218,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Qualifications:

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As an Agentic Capability Engineer, you will operate as a platform-focused engineer who designs, builds, and maintains the agentic infrastructure that powers AI-driven delivery at scale. The ACE develops AI agents, agent systems, crafting reusable prompt and context engineering patterns, building MCP (Model Context Protocol) servers, and integrating platforms that enable other orchestrators to work.

Additionally, you will:

  • Design agent system architecture and implement DevSecOps practices for AI workflows
  • Build and maintain AI agents, agent systems, and reusable skills/workflows for delivery teams
  • Develop and govern prompt, context engineering patterns that produce consistent, high-quality outputs
  • Stand up MCP (Model Context Protocol) servers, CLI tools, and agent testing frameworks
  • Deliver platform configuration and integrations (CI/CD pipelines, repositories, environments, guardrails)
  • Standardize orchestration components-templates, harnesses, observability-for enterprise reuse
  • Improve reliability, performance, and maintainability of agent delivery capabilities over time
  • Provide technical guidance to ADEs and AEMs on effective use of agentic infrastructure

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required: 

  • Bachelor's degree in Computer Science, Data Science or Engineering.
  • 7+ years of software engineering experience with demonstrated platform or infrastructure impact
  • 5+ years of hands-on experience building, deploying, or integrating AI/ML systems in production environments
  • 5+ years of experience with cloud platforms and infrastructure automation (Terraform, Kubernetes, etc.)
  • 2+ years of experience with prompt engineering and context optimization skills with measurable quality improvements
  • 2+ years of experience designing reusable tools, frameworks, or developer productivity infrastructure
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Must be able to obtain and maintain the required clearance for this role 

Preferred: 

  • Strong security mindset with knowledge of AI-specific risks (prompt injection, data leakage, hallucination)
  • Ability to translate complex technical capabilities into accessible patterns for other engineers
  • Track record of staying current with rapidly evolving AI tools and contributing improvements proactively

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $131,000 to $218,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Education:Bachelor's DegreeEmployment Type:

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